A Heterogeneous Sensing Suite for Multisymptom Quantification of Parkinson's Disease

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 28; no. 6; pp. 1397 - 1406
• Main Authors: Huo, Weiguang, Angeles, Paolo, Tai, Yen F., Pavese, Nicola, Wilson, Samuel, Hu, Michele T., Vaidyanathan, Ravi
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.06.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Cross-Sectional Studies; Deep brain stimulation; Health services; Humans; Hypokinesia - diagnosis; Inertial platforms; Inertial sensing devices; Learning algorithms; Machine learning; Mapping; Medical treatment; MMG; Movement disorders; muscle stiffness; Muscles; Neurodegenerative Diseases; Parkinson Disease - diagnosis; Parkinson's disease; Parkinson’s disease symptoms; Remote monitoring; Rigidity; Satellite broadcasting; Sensors; Signs and symptoms; Telemedicine; Three-dimensional displays; Tremor; Tremor - diagnosis; Tremors; wearable sensor system; Wearable technology

Parkinson's disease (PD) is the second most common neurodegenerative disease affecting millions worldwide. Bespoke subject-specific treatment (medication or deep brain stimulation (DBS)) is critical for management, yet depends on precise assessment cardinal PD symptoms - bradykinesia, rigidity...